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18 часов назад

Forward Deployed Engineer (Google Cloud AI)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Forward Deployed Engineer (Google Cloud AI): Developing and deploying production-grade agentic AI solutions and RAG pipelines for enterprise customers with an accent on Vertex AI and Gemini. Focus on architecting multi-agent systems, optimizing evaluation pipelines, and integrating AI into complex enterprise infrastructures.

Location: Must be based in the province of Québec, Canada. Remote with up to 50% travel to customer sites.

Company

Experience innovation company partnering with global brands to drive digital transformation through data, AI, and creativity.

What you will do

  • Embed within customer engineering teams to translate ambiguous business problems into AI architectures and delivery plans.
  • Architect and ship production-grade agentic AI solutions on GCP, including multi-agent systems, MCP servers, and safety guardrails.
  • Design and implement RAG pipelines, focusing on chunking strategy, vector databases, and embedding optimization.
  • Build the connective tissue between Google AI products and customer infrastructure, including APIs and legacy data silos.
  • Implement advanced agent patterns like ReAct and self-reflection using frameworks such as ADK or LangGraph.
  • Develop high-performance evaluation pipelines and observability frameworks to monitor accuracy, latency, and cost.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.
  • 5+ years of software development experience using Python or TypeScript.
  • Hands-on experience deploying AI systems on GCP (Vertex AI, Gemini models, BigQuery, Cloud Run, Pub/Sub).
  • Demonstrated experience building agentic solutions and RAG architectures in production.
  • Experience deploying cloud resources via Terraform or similar IaC tools.
  • Must be based in the province of Québec.

Nice to have

  • Master’s or PhD in AI, Computer Science, or Machine Learning.
  • Experience with LangGraph, CrewAI, or designing Model Context Protocol (MCP) servers.
  • Knowledge of LLM-native operational metrics (tokens/sec, cost-per-request).
  • Google Cloud Professional certifications (ML Engineer, Cloud Architect, or Data Engineer).
  • Familiarity with full-stack development and REST/GraphQL API design.

Culture & Benefits

  • Comprehensive insurance plan (Gold, Silver, Bronze) including short- and long-term disability.
  • Virtual healthcare and complete mental health support program via Dialogue (Sun Life).
  • $500 Personal Spending Account for healthcare, gym, or RRSP contributions.
  • Retirement plan with 100% RRSP matching up to 4% through a DPSP.
  • Flexible vacation policy and paid closure during winter holidays.
  • $30/month reimbursement for personal technology.

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